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HDR Merging of RAW Exposure Series for All-Sky Cameras: A Comparative Study for Circumsolar Radiometry
Paul Matteschk1,2, Max Aragón2,3, Jose Gomez2,3
1International Centre for Sustainable Development (IZNE), University of Applied Sciences Bonn-Rhein-Sieg, 53757 Sankt Augustin, Germany.
High-dynamic-range (HDR) processing in all-sky imagers (ASIs) for solar energy meteorology is compared. Radiance-linear fusion in the sensor/RAW domain (RAW-HDR) better preserves circumsolar detail than image signal processor (ISP)-based HDR.
Area of Science:
- Solar energy meteorology
- Atmospheric optics
- Image processing
Background:
- All-sky imagers (ASIs) face extreme dynamic range challenges in solar energy meteorology.
- Current operational pipelines often use image signal processor (ISP)-based high-dynamic-range (HDR) methods, which can degrade image quality near the Sun.
Purpose of the Study:
- To contrast radiance-linear HDR fusion in the sensor/RAW domain (RAW-HDR) with vendor ISP-based HDR (ISP-HDR).
- To evaluate the impact of different HDR methods on circumsolar image quality and suitability for downstream solar energy applications.
Main Methods:
- Paired, interleaved image acquisitions under clear and broken-cloud conditions.
- Solar-based geometric calibration for Sun-centered analysis.
- Quantitative evaluation using saturated-area fraction and radial gradient metrics in the radiance-linear HDR domain.
Main Results:
- ISP-HDR showed approximately double the near-saturation within 0-4° of the Sun compared to RAW-HDR.
- ISP-HDR exhibited a three- to fourfold weaker circumsolar radial gradient within 0-6° compared to RAW-HDR.
- RAW-HDR better preserved circumsolar structure.
Conclusions:
- Radiance-linear fusion in the RAW domain (RAW-HDR) is superior to ISP-domain HDR for preserving circumsolar image detail.
- RAW-HDR provides more suitable input for critical downstream tasks like cloud-edge detection, aerosol retrieval, and irradiance estimation in solar energy meteorology.
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